Big team science reveals promises and limitations of machine learning efforts to model physiological markers of affective experience by Nicholas A. Coles, Bartosz Perz, Maciej Behnke, Johannes C. Eichstaedt, Soo Hyung Kim, Tu N. Vu, Chirag Raman, Julian Tejada, Van-Thong Huynh, Guangyi Zhang, Tanming Cui, Sharanyak Podder, Rushi Chavda, Shubham Pandey, Arpit Upadhyay, Jorge I. Padilla-Buritica, Carlos J. Barrera Causil, Linying Ji, Felix Dollack, Kiyoshi Kiyokawa, Huakun Liu, Monica Perusquia-Hernandez, Hideaki Uchiyama, Xin Wei, Houwei Cao, Ziqing Yang, Alessia Iancarelli, Kieran McVeigh, Yiyu Wang, Isabel M. Berwian, Jamie C. Chiu, Dan-Mircea Mirea, Erik C. Nook, Henna I. Vartiainen, Claire Whiting, Young Won Cho, Sy-Miin Chow, Zachary F. Fisher, Yanling Li, Xiaoyue Xiong, Yuqi Shen, Enzo Tagliazucchi, Leandro A. Bugnon, Raydonal Ospina, Nicolas M. Bruno, Tomas A. D'Amelio, Federico Zamberlan, Luis R. Mercado Diaz, Javier O. Pinzon-Arenas, Hugo F. Posada-Quintero, Maneesh Bilalpur, Saurabh Hinduja, Fernando Marmolejo-Ramos, Shaun Canavan, Liza Jivnani, Stanisław Saganowski

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Defining and Analyzing Nervousness Using AI-Based Facial Expression Recognition by Hyunsoo Seo, Seunghyun Kim, Eui Chul Lee

Subjects: “…affective computing…”
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Artificial intelligence can emulate human normative judgments on emotional visual scenes by Zaira Romeo, Alberto Testolin

Subjects: “…affective computing…”
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Editorial: Exploring the emotional landscape: cutting-edge technologies for emotion assessment and elicitation by Ivonne Angelica Castiblanco Jimenez, Federica Marcolin, Enrico Vezzetti, Javier Marín Morales, Alessia Celeghin

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Child-therapist acoustic synchrony and response trajectories in autism intervention: an AI-based automated analysis using dynamic systems theory and affective computing by Giulio Bertamini, Silvia Perzolli, Arianna Bentenuto, Cesare Furlanello, Mohamed Chetouani, David Cohen, Paola Venuti

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DGAT: a dynamic graph attention neural network framework for EEG emotion recognition by Shihang Ding, Kaixuan Wang, Wenhao Jiang, Cong Xu, Hongjian Bo, Lin Ma, Haifeng Li

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Evaluation of Rural Visual Landscape Quality Based on Multi-Source Affective Computing by Xinyu Zhao, Lin Lin, Xiao Guo, Zhisheng Wang, Ruixuan Li

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Detection and monitoring of stress using wearables: a systematic review by Anuja Pinge, Vinaya Gad, Dheryta Jaisighani, Surjya Ghosh, Sougata Sen

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Affective Video Content Analysis: Decade Review and New Perspectives by Junxiao Xue, Jie Wang, Xiaozhen Liu, Qian Zhang, Xuecheng Wu

Subjects: “…affective computing…”
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CIT-EmotionNet: convolution interactive transformer network for EEG emotion recognition by Wei Lu, Lingnan Xia, Tien Ping Tan, Hua Ma

Subjects: “…Affective computing…”
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Detecting Creative States From Emotional Cues: Insights From Speech With Focus on Text Modality by Sepideh Kalateh, Sanaz Nikghadam-Hojjati, Jose Barata

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Editorial: Interdisciplinary synergies in neuroinformatics, cognitive computing, and computational neuroscience by Nabamita Deb, Zardad Khan, Muhammad Sulaiman, Maharani Abu Bakar

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“The Problem of the Adjective” by Jessica Feldman

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SkelETT—Skeleton-to-Emotion Transfer Transformer by Pedro Victor Vieira Paiva, Josue Junior Guimaraes Ramos, Marina Gavrilova, Marco Antonio Garcia de Carvalho

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A Survey on Integration of Empathy Cues Into Empathetic Text Generation by Edwin C. Montiel-Vazquez, Christian Arzate Cruz, Jorge Adolfo Ramirez Uresti, Miguel Gonzalez Mendoza, Randy Gomez

Subjects: “…Affective computing…”
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Emotion Recognition from rPPG via Physiologically Inspired Temporal Encoding and Attention-Based Curriculum Learning by Changmin Lee, Hyunwoo Lee, Mincheol Whang

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MT-EfficientNetV2: A Multi-Temporal Scale Fusion EEG Emotion Recognition Method Based on Recurrence Plots by Zihan Zhang, Zhiyong Zhou, Jun Wang, Hao Hu, Jing Zhao

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Personalized Clustering for Emotion Recognition Improvement by Laura Gutiérrez-Martín, Celia López-Ongil, Jose M. Lanza-Gutiérrez, Jose A. Miranda Calero

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Multi-branch feature learning based speech emotion recognition using SCAR-NET by Keji Mao, Yuxiang Wang, Ligang Ren, Jinhong Zhang, Jiefan Qiu, Guanglin Dai

Subjects: “…affective computing…”
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Improving Access Trust in Healthcare Through Multimodal Deep Learning for Affective Computing by I. Sakthidevi, G. Fathima

Subjects: “…Affective computing…”
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